kafka consumer: improve downstream write throughput - #6314
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📝 WalkthroughWalkthroughThe change standardizes reconstructed table metadata across storage and codec decoders. It records column offsets, builds public primary indexes, applies shared handle-key classification, adds DML replay deduplication, and enables batched DML defaults in integration tests. ChangesComposite Key Handling
Priority: ➖ Normal Estimated code review effort: 5 (Critical) | ~90 minutes Change: Bug fix · Severity of issue fixed: Medium Sequence Diagram(s)sequenceDiagram
participant Consumer
participant EventsGroup
participant Decoder
participant TableInfo
participant MySQLSink
Consumer->>EventsGroup: convert DML messages
EventsGroup->>EventsGroup: merge fragments and deduplicate replayed rows
Decoder->>TableInfo: build columns and primary index
TableInfo-->>EventsGroup: provide handle-key metadata
EventsGroup-->>Consumer: return DML events or conflict error
Consumer->>MySQLSink: submit compatible DML batch
MySQLSink-->>Consumer: complete flush callbacks
Merge Risk: 🟠 High · up to Legitimate DML can be rejected or receive misaligned checksum metadata, and keyless Debezium tables can receive invalid handle metadata. These production-path issues should be fixed before merge. 🚥 Pre-merge checks | ✅ 3 | ❌ 2❌ Failed checks (2 warnings)
✅ Passed checks (3 passed)
Full details: Out of Scope Changes checkExplanation The PR includes changes that are not required to preserve decoder primary-key metadata in [ Resolution Remove the replay-row deduplication and unrelated high-watermark behavior changes from this PR, or move them to a separate change with separate requirements and tests. Keep the decoder metadata fixes and tests that directly implement [ ✨ Finishing Touches 💡 1🛠️ Fix failing CI checks 💡
🧪 Generate unit tests (beta)
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- 🪄 Fix CodeRabbit comments on this PR
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Inline comments:
In `@pkg/sink/codec/debezium/decoder.go`:
- Around line 372-374: In pkg/sink/codec/debezium/decoder.go lines 372-374,
update the primary-index append and handle-key classification flow to run only
when indexColumns is non-empty. In pkg/common/table_info.go lines 514-515,
update the shared handle-key helper to return immediately when the primary index
has zero columns.
In `@pkg/sink/codec/open/decoder.go`:
- Around line 492-513: The reconstructed indexes must have unique IDs while
preserving ID 1 for the primary index. In pkg/sink/codec/open/decoder.go lines
492-513, update the secondary-index reconstruction around the index-building
logic to allocate distinct IDs rather than reusing 1; in
pkg/sink/codec/simple/decoder.go line 489, assign each reconstructed index a
distinct ID before setting StatePublic.
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📒 Files selected for processing (15)
pkg/cloudstorage/schema_file.gopkg/cloudstorage/schema_file_test.gopkg/common/table_info.gopkg/sink/codec/avro/decoder.gopkg/sink/codec/avro/decoder_test.gopkg/sink/codec/canal/canal_json_decoder.gopkg/sink/codec/canal/canal_json_test.gopkg/sink/codec/canal/canal_json_txn_decoder.gopkg/sink/codec/common/test_helper.gopkg/sink/codec/debezium/debezium_test.gopkg/sink/codec/debezium/decoder.gopkg/sink/codec/open/codec_test.gopkg/sink/codec/open/decoder.gopkg/sink/codec/simple/decoder.gopkg/sink/codec/simple/decoder_test.go
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[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: wk989898 The full list of commands accepted by this bot can be found here. The pull request process is described here DetailsNeeds approval from an approver in each of these files:
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What problem does this PR solve?
Issue Number: close #6315
Kafka integration tests force
safe-mode=true&batch-dml-enable=falseon the consumer's downstream MySQL sink, limiting write throughput. This PR removes those overrides so the consumer can use the default unsafe mode with batched DML to write faster. The accompanying decoder and consumer changes adapt event metadata and replay handling to that write path.What is changed and how it works?
safe-mode=trueandbatch-dml-enable=falseoverrides from Kafka consumer test setup and integration scripts, using the MySQL sink defaults.Check List
Tests
Questions
Will it cause performance regression or break compatibility?
The intended performance improvement comes from using batched DML and avoiding forced safe mode in the test consumer. No throughput benchmark has been run, so no quantitative speedup is claimed. The supporting changes preserve row identity, schema correctness, and replay semantics for this faster write path. No wire-format changes or MySQL sink logic changes are introduced.
Do you need to update user documentation, design documentation or monitoring documentation?
No.
Release note